---
library_name: transformers
license: apache-2.0
base_model: facebook/convnextv2-large-22k-224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: convnext_checkpoints_mar20_classification_combat_mission
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# convnext_checkpoints_mar20_classification_combat_mission

This model is a fine-tuned version of [facebook/convnextv2-large-22k-224](https://huggingface.co/facebook/convnextv2-large-22k-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0053
- Accuracy: 0.9980

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0523        | 1.0   | 278  | 0.0092          | 0.9968   |
| 0.0297        | 2.0   | 556  | 0.0045          | 0.9984   |
| 0.0264        | 3.0   | 834  | 0.0053          | 0.9980   |


### Framework versions

- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2